A collection of curated climate data sets
Project description
Bookshelf
bookshelf
is how Climate Resource reuses datasets across projects
The bookshelf
represents a shared collection of curated datasets or Books
. Each
Book
is a preprocessed, versioned dataset including the notebooks used to produce it.
As the underlying datasets or processing are updated, new Books
can be created (with
an updated version). A single dataset may produce multiple Resources
if different
representations are useful. These Books
can be deployed to a shared Bookshelf
so that they are accessible by other users.
Users are able to use specific Books
within other projects. The dataset and associated
metadata is fetched and cached locally. Specific versions of Books
can also be pinned for
reproducibility purposes.
This repository contains the notebooks that are used to generate the Books
as well as a CLI tool for managing these datasets.
This is a prototype and will likely change in future. Other potential ideas:
- Deployed data are made available via
api.climateresource.com.au
so that they can be consumed queried smartly - Simple web page to allow querying the data
Each Book consists of a datapackage
description of the metadata. This datapackage contains the associated Resources
and
their hashes. Each Resource
is fetched when it is first used and then cached for later use
Installation
bookshelf
can be installed via pip:
pip install bookshelf
For developers
For development, we rely on poetry for all our dependency management. To get started, you will need to make sure that poetry is installed (instructions here, we found that pipx and pip worked better to install on a Mac).
For all of work, we use our Makefile
.
You can read the instructions out and run the commands by hand if you wish,
but we generally discourage this because it can be error prone.
In order to create your environment, run make virtual-environment
.
If there are any issues, the messages from the Makefile
should guide you
through. If not, please raise an issue in the issue tracker.
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